The accuracy of image registration methods is dependent on peak sharpness which is dependent on scene content. As a result of characterizing joint scene content in terms of the joint probability density function, a new registration metric is defined as the thresholded difference (TD) method. It produces a sharper correlation peak than either the direct cross-correlation or mean absolute difference methods. Analytical comparisons and simulations are presented which show the TD method to exhibit less dependence on scene content than other pixel-by-pixel registration metrics. The method is easily normalized by a simple re-scaling of both images to the same range of gray levels. The thresholded difference registration metric is evaluated in terms of registering images which are incompatible due to additive noise, different spectral bands, temporal variations and scale differences. Simulation results show the TD method to be as good or better than other pixel-by-pixel correlation methods. An optimum threshold of half the image difference standard deviation at registration is indicated by simulation results. The TD method offers promise for enhanced registration accuracy for non-compatible images.
High Resolution Image Registration By Thresholded Difference
Applications of Digital Image Processing IV ; 1982 ; San Diego,United States
Proc. SPIE ; 0359
1983-03-17
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Image-to-Image Registration tp Produce High-Resolution Images
Online Contents | 1997
|Selective Corner Matching for High-Resolution Image Registration
British Library Conference Proceedings | 2006
|Reconstruction of a High Resolution Image from Registration and Restoration of Low Resolution Images
British Library Conference Proceedings | 1994
|An entropy-based image registration method using image intensity difference on overlapped region
British Library Online Contents | 2012
|